Latest AI and machine learning research in diabetes for healthcare professionals.
Disease diagnosis from medical images has become increasingly important in medical science. Abnormal...
Artificial intelligence (AI) based on deep learning (DL) has sparked tremendous global interest in r...
PURPOSE: To estimate prevalence and severity of diabetic retinopathy (DR) among U.S. adults with dia...
BACKGROUND AND OBJECTIVE: Diabetic retinopathy (DR) is the most prevalent microvascular complication...
OBJECTIVE: Metformin is the preferred first-line medication for management of type 2 diabetes and pr...
BACKGROUND AND OBJECTIVE: In healthcare systems, the cost of unplanned readmission accounts for a la...
AIM: To evaluate the association between high triglyceride/HDL-cholesterol (TG/HDL-C) ratio and insu...
BACKGROUND Aryl-carbon receptor (AhR), a ligand-activated transcription factor, is best known for it...
An estimated 425 million people globally have diabetes, accounting for 12% of the world's health exp...
OBJECTIVE: To evaluate the basal/total ratio of daily insulin dose (b/T) in outpatients with diabete...
Artificial intelligence (AI) has emerged as a major frontier in computer science research. Although ...
AIMS: Data from the EDITION 3 randomized study and the Clinformatics claims database were analysed t...
Digital medicine, digital research and artificial intelligence (AI) have the power to transform the ...
AIM: To assess the association between elevated triglycerides/glucose index (TGI) and insulin resist...
Diabetic Retinopathy (DR) has been a leading cause of blindness in case of human beings falling betw...
AIM: To evaluate the association between vitamin D deficiency and insulin resistance (IR) or hyperin...
IMPORTANCE: There has been wide interest in using artificial intelligence (AI)-based grading of reti...
In the future artificial intelligence (AI) will have the potential to improve outcomes diabetes care...
In this study, we first performed a disintegration test of the voglibose orally disintegrating (V-OD...
Accurate and reliable prediction of clinical progression over time has the potential to improve the ...
BACKGROUND: The present study aims to identify the patients at risk of type 2 diabetes (T2D). There ...